Angebot 300 von 553 vom 05.05.2022, 15:18


Zuse Insti­tute Ber­lin - Arbeits­gruppe Visual Data Ana­ly­sis

The Zuse Insti­tute Ber­lin (ZIB) is a non-uni­versity research insti­tute under pub­lic law of the state of Ber­lin. We con­duct research and devel­op­ment in applied math­em­at­ics and com­puter sci­ence as well as the ana­lysis and pro­cessing of com­plex data in con­junc­tion with high-per­form­ance com­put­ing.

Research Pos­i­tion (m/f/d) Ref­er­ence Code: WA 13/22 Pay Grade: E14 TV-L Ber­lin (100%)

For the Visual Data Ana­lysis research group, part of the divi­sion of Math­em­at­ics of Com­plex Sys­tems, we are look­ing for a can­did­ate to start as soon as pos­sible. This vacancy offered is a fixed-term con­tract for four years.

Working field:

The pro­ject is part of the DFG-fun­ded research group Robust­Cir­cuit, which is car­ried out in close cooper­a­tion with sev­eral neuro­bi­o­lo­gical research groups at the Freie Uni­versität Ber­lin, the Johannes-Guten­berg-Uni­versität Mainz, the Hum­boldt-Uni­versität zu Ber­lin, as well as a math­em­at­ical research group at the Robert Koch Insti­tute. The goal of Robust­Cir­cuit is to invest­ig­ate the role of impre­ci­sion in the assembly of neural cir­cuits and how it affects the struc­tural and func­tional robust­ness of these cir­cuits. To invest­ig­ate this, a num­ber of dif­fer­ent ima­ging tech­niques (e.g., mul­ti­photon micro­scopy) will be used to gen­er­ate time-depend­ent two- and three-dimen­sional image data of neur­ons and sub­cel­lu­lar struc­tures. Your task will be to develop and adapt image ana­lysis meth­ods for these data. Auto­mated track­ing of (sub-)struc­tures will play a par­tic­u­larly import­ant role.


The fol­low­ing require­ments need to be ful­filled:
  • very good mas­ter degree in com­puter sci­ence, math­em­at­ics or a related sub­ject with a focus on image ana­lysis as well as a suc­cess­fully final­ized PhD;
  • good know­ledge in visu­al­iz­a­tion and visual data ana­lysis;
  • exper­i­ence in soft­ware devel­op­ment with C++ and Python;
  • high interest in neuro­bi­o­lo­gical research;
  • very good com­mu­nic­a­tion and team­work skills, both intern­ally and across dis­cip­lines;
  • high degree of self-reli­ance and com­mit­ment;
  • very good com­mand of writ­ten and spoken Eng­lish.
It would be favor­able if, addi­tion­ally,
  • you are inter­ested and have prior know­ledge in image regis­tra­tion;
  • you are inter­ested in meth­ods of machine learn­ing/arti­fi­cial intel­li­gence;
  • you have exper­i­ence in research data man­age­ment.

What we offer:

We are offer­ing a friendly work­ing atmo­sphere with flex­ible work and meet­ing times, excel­lent equip­ment, a chal­len­ging pro­fes­sional envir­on­ment as well as
  • a mul­ti­fa­ceted, future-ori­ented and respons­ible field of activ­ity,
  • com­pre­hens­ive train­ing in a com­pet­ent and cooper­at­ive team,
  • oppor­tun­it­ies and sup­port in pro­fes­sional devel­op­ment,
  • an addi­tional pen­sion scheme (VBL),
  • 30 days annual leave, flex­ible work­ing hours (flexi­time),
  • a salary in accord­ance with TV-L (Col­lect­ive Agree­ment for the Pub­lic Ser­vice of the Fed­eral States), tak­ing into account the rel­ev­ant pro­fes­sional exper­i­ence, as well as an end-of-year bonus,
  • dis­coun­ted BVG (pub­lic trans­port) ticket as part of the cap­ital city allow­ance,
  • and the use of canteens and sports pro­grams of the Free Uni­versity Ber­lin (FUB) at reduced rates.

How to apply:

Please send your applic­a­tion, quot­ing the ref­er­ence code WA 13/22, includ­ing a cover let­ter con­tain­ing a state­ment of your research interests, a CV with a list of pub­lic­a­tions, aca­demic tran­scripts, and con­tact details of two ref­er­ences, by June 10, 2022 (date of receipt) in pdf-format (one file) to:
Our private policy state­ment regard­ing applic­a­tion data is avail­able at
For fur­ther inform­a­tion about the pos­i­tion, please refer to our web­site or con­tact Dr. Daniel Baum (
For fur­ther job offers please visit our web­site at

Female applic­ants are highly encour­aged to apply. Since women are under­rep­res­en­ted in inform­a­tion tech­no­logy, the ZIB is try­ing to increase the pro­por­tion of women in this research area.

Applic­ants with dis­ab­il­it­ies will be given pref­er­ence if equally qual­i­fied.